Researchers in Israel “wrote a sentiment-analysing program. They then trained this software to recognise sarcasm by feeding it sentences that had been flagged up by human reviewers as likely to contain sarcasm. … The algorithm agreed with the [human] volunteers 77 per cent of the time for Amazon.com product reviews and 83 per cent of the time for [randomly selected Twitter] tweets.”